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Update app.py
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app.py
CHANGED
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@@ -3,18 +3,18 @@ import requests
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import os
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from huggingface_hub import InferenceClient
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def
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token = os.getenv("HF_TOKEN")
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if not token:
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return "Hugging Face token is not set in the environment variables."
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client = InferenceClient(model="gpt2", token=token)
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return
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def get_weather(city_name):
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corrected_city_name =
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API_Key = os.getenv("OPENWEATHER_API_KEY")
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if not API_Key:
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return "API Key is not set. Please set the OPENWEATHER_API_KEY environment variable."
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@@ -30,18 +30,19 @@ def get_weather(city_name):
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weather_emoji = "☀️" if "clear" in weather else "☁️" if "cloud" in weather else "🌧️" if "rain" in weather else "❄️" if "snow" in weather else "🌫️"
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return (f"In {corrected_city_name}, the weather is currently {weather} {weather_emoji}. "
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f"The temperature is a comfy {temp}°C 🌡️. "
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f"And the humidity levels are at {humidity}%
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else:
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return "Failed to retrieve data. Please check the city name and try again."
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#
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iface = gr.Interface(
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fn=get_weather,
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inputs=gr.Textbox(label="Enter City Name", placeholder="Type here..."),
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outputs=gr.Textbox(label="Weather Update"),
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title="
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description="Enter a city name to get a lively description of the current weather, temperature, and humidity.
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)
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#
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iface.launch()
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import os
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from huggingface_hub import InferenceClient
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def preprocess_city_name_and_generate_insight(city_name):
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token = os.getenv("HF_TOKEN")
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if not token:
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return city_name, "Hugging Face token is not set in the environment variables."
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client = InferenceClient(model="gpt2", token=token)
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prompt = f"Generate a short, interesting fact about {city_name} in less than 10 words:"
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result = client(inputs=prompt)
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insight = result['generated_text'].strip()
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return city_name, insight
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def get_weather(city_name):
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corrected_city_name, city_insight = preprocess_city_name_and_generate_insight(city_name)
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API_Key = os.getenv("OPENWEATHER_API_KEY")
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if not API_Key:
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return "API Key is not set. Please set the OPENWEATHER_API_KEY environment variable."
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weather_emoji = "☀️" if "clear" in weather else "☁️" if "cloud" in weather else "🌧️" if "rain" in weather else "❄️" if "snow" in weather else "🌫️"
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return (f"In {corrected_city_name}, the weather is currently {weather} {weather_emoji}. "
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f"The temperature is a comfy {temp}°C 🌡️. "
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f"And the humidity levels are at {humidity}% 💧. "
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f"Did you know? {city_insight}")
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else:
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return "Failed to retrieve data. Please check the city name and try again."
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# Define Gradio interface
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iface = gr.Interface(
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fn=get_weather,
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inputs=gr.Textbox(label="Enter City Name", placeholder="Type here..."),
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outputs=gr.Textbox(label="Weather Update"),
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title="WeatherAssistantApp",
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description="Enter a city name to get a lively description of the current weather, temperature, and humidity."
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)
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# Launch the interface
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iface.launch()
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